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Future Of Great Salt Lake Survey, Lisa W. Welsh, Joanna Endter-Wada, Karin M. Kettenring, Anna Mcentire
Future Of Great Salt Lake Survey, Lisa W. Welsh, Joanna Endter-Wada, Karin M. Kettenring, Anna Mcentire
Reports
The Future of Great Salt Lake Survey was conducted in fall 2022 when state and global attention on Great Salt Lake was ramping up, following record lows of the elevation of lake water levels. In the survey, we asked Utahns their opinions on securing water for Great Salt Lake and focused on strategies that individuals, local communities, and the state of Utah could pursue. When it comes to how water is used and managed in Utah, there are multiple actors and institutions who all make decisions and have authority or ability to take different actions. While the state of …
Predicting Flow Through The Causeway Of The Great Salt Lake Using Hydrodynamic Simulations And Artificial Neural Networks, Som Dutta, Brian Mark Crookston, Michael Rasmussen, Eric Larsen
Predicting Flow Through The Causeway Of The Great Salt Lake Using Hydrodynamic Simulations And Artificial Neural Networks, Som Dutta, Brian Mark Crookston, Michael Rasmussen, Eric Larsen
Reports
At the Great Salt Lake, the northern and southern portions of the lake are divided by an east-to-west causeway that disrupts natural lake currents and significantly increases salt concentrations in the norther portion. To support management efforts to address rising environmental and economic concerns, the causeway was recently modified to include a new breach that typically exhibits a strong density-driven bidirectional flow pattern. To obtain much needed insights into the hydraulic performance of this hydraulic structure and the exchange between the two sections of the lake, a field campaign coupled with computational fluid dynamics (CFD) modeling and an artificial neural …
Development Of A Water Quality Simulation Model Applicable To Great Salt Lake, Utah, Craig T. Jones, Calvin G. Clyde, William J. Grenney, J. Paul Riley
Development Of A Water Quality Simulation Model Applicable To Great Salt Lake, Utah, Craig T. Jones, Calvin G. Clyde, William J. Grenney, J. Paul Riley
Reports
The development of a model capable of predicting the long term (seasonal) . distribution of water quality constituents within Great Salt Lake was undertaken as a portion of the ongoing Great Salt Lake project at Utah State University. The overall goal of the project is the development of a modeling framework to assist relevant decision making bodies in the comprehensive management of the Great Salt Lake system. Phase I of the project provided the overall structural framework for management of the Great Salt Lake system, identified data needs, and established priorities for the development of submodels for incorporation into the …